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基于改进模拟退火算法的电网无功优化
引用本文:贾德香,唐国庆,韩净.基于改进模拟退火算法的电网无功优化[J].继电器,2004,32(4):32-35.
作者姓名:贾德香  唐国庆  韩净
作者单位:1.东南大学电气工程系,江苏 南京 210096;2.马鞍山供电局,安徽 马鞍山 243000
摘    要:无功运行优化问题的关键在于获得最优解或较好的次优解。传统的线性规划法和非线性规划法不能很好地处理整型变量问题,而常规模拟退火算法(SA)的鲁棒性不高。结合高中压配电网的特点,对SA进行了改进:采用记忆指导搜索方法,并采用模式法修正局部最优解。数值对比试验表明,本方法是合理的和可行的,具有一定的实用意义。

关 键 词:电网    无功优化    记忆搜索    模式法    改进模拟退火算法
文章编号:1003-4897(2004)04-0032-04
修稿时间:2003年5月14日

Reactive power optimization of power system based on modified simulated annealing algorithm
JIA De-xiang,TANG Guo-qing,HAN Jing.Reactive power optimization of power system based on modified simulated annealing algorithm[J].Relay,2004,32(4):32-35.
Authors:JIA De-xiang  TANG Guo-qing  HAN Jing
Affiliation:JIA De-xiang~1,TANG Guo-qing~1,HAN Jing~2
Abstract:The key to the optimization of reactive power operation is to get optimum value or satisfactory quasi-optimum value. Traditional methods of linear programming and non-linear programming cannot deal with the problem of integral variable successfully, and the simulated annealing algorithm(SA) is not very robust. Concerning the characteristics of high-medium voltage distribution system, the SA is modified as follows: using remembrance-guided search method, and modifying the quasi-optimum value with pattern search method. Numerical experiment demonstrates that the above method is reasonable, feasible, and practical to some extent.
Keywords:power system  reactive power optimization  remembrance-guided search  pattern search method  modified simulated annealing algorithm
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